feat: v1 — boilerplate WxO + web

Boilerplate completo para construir soluciones agénticas sobre IBM
watsonx Orchestrate (ADK 2.x) con una capa web encima.

Destilado de cotemar-poc-n1 y dun-casos-prueba. Incluye:

- 11 docs (best practices, architecture patterns, ADK cheatsheet,
  observability, tool authoring, deployment, RUNBOOK, DEPLOY_TO_NEW_WOX,
  known-issues con 16 errores reales y fix, eval strategy, INDEX)
- 13 templates WxO (orchestrator/specialist/single-meta agents,
  3 connections, KB + runbook, observable_tool decorator, coercion
  helpers, Python tools, OpenAPI spec, backend filter endpoint, webhook
  validator HMAC, MCP connection)
- 6 scripts (deploy idempotente con fallback ADK, undeploy, reset,
  check-adk-version, new-specialist scaffold, eval-agents runner)
- 4 eval pieces (linter de best practices, runner, smoke-test, direct
  backend probe) + scenario templates
- 8 subagentes Claude (.claude/agents/) — wxo-architect, wxo-agent-author,
  wxo-tool-author, runbook-author, mock-builder, backend-tool-builder,
  eval-author, web-layer-builder
- Skill bundle fit-wxo-bootstrap/ (SKILL.md + 3 templates) listo para
  copiar a ~/.claude/skills/
- Web layer default FastAPI+HTMX con vista timeline observable + endpoint
  receptor de trazas
- Docker compose Coolify-ready (healthcheck wget -qO-, sin labels Traefik,
  network split internal:true)
- CI Gitea workflow con lint + smoke

Best practices enforced por evals/lint_wxo_yaml.py:
- A1: máx 10 tools por agente
- A3: orchestrator sin tools de remediación
- A6: agente sin propósito (react sin tools ni KB)
- T1: @observable_tool obligatorio, no @tool directo
- T3: _compat shim inline en tools.py
- D1: docker-compose sin wget --spider
- I-005: OpenAPI con description per-operation
- I-009: sin labels Traefik manuales

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

wxo/tools/python/_observable_tool.py

@@ -0,0 +1,178 @@
+"""Observable tool decorator.
+
+Wraps the ADK `@tool` so every call emits a structured trace
+(inputs, outputs, latency, side effects). See `docs/observability-pattern.md`.
+
+Usage:
+    from wxo.tools.python._observable_tool import observable_tool
+
+    @observable_tool(name="reset_password", domain="ad")
+    def reset_password(username: str) -> dict:
+        # your logic
+        return {"temp_password": "xxx"}
+
+The decorated function is still a valid ADK `@tool` — the decorator delegates.
+The LLM sees only `result`. The full trace goes to the configured sink.
+
+Sinks (controlled by env var TRACE_SINK):
+- `sqlite` (default): writes to `traces.db` next to the process
+- `http`: POST to $TRACE_SINK_URL (default http://web:8000/api/traces)
+- `otlp`: OpenTelemetry OTLP gRPC to $OTEL_EXPORTER_OTLP_ENDPOINT
+
+Set `_bypass_tracing=True` in the decorator to skip tracing for a specific
+tool (rare — used for hot-path tools or debug).
+"""
+from __future__ import annotations
+
+import functools
+import json
+import os
+import sqlite3
+import time
+import uuid
+from datetime import datetime, timezone
+from typing import Any, Callable
+
+# === inline compat shim (NO eliminar — TRM lo necesita) ===
+try:
+    from ibm_watsonx_orchestrate.agent_builder.tools import tool as _adk_tool
+except ImportError:
+    def _adk_tool(*args, **kwargs):
+        def deco(f): return f
+        return deco if not args else deco(args[0])
+# ============================================================
+
+
+TRACE_SINK = os.environ.get("TRACE_SINK", "sqlite")
+TRACE_SINK_URL = os.environ.get("TRACE_SINK_URL", "http://web:8000/api/traces")
+TRACES_DB_PATH = os.environ.get("TRACES_DB_PATH", "/tmp/traces.db")
+
+
+def _now_iso() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def _emit_trace(trace: dict[str, Any]) -> None:
+    """Send the trace to the configured sink. Failures must NEVER break the tool."""
+    try:
+        if TRACE_SINK == "sqlite":
+            _emit_sqlite(trace)
+        elif TRACE_SINK == "http":
+            _emit_http(trace)
+        elif TRACE_SINK == "otlp":
+            _emit_otlp(trace)
+        # else: silently drop (TRACE_SINK=off)
+    except Exception:
+        # Never let observability break the tool.
+        pass
+
+
+def _emit_sqlite(trace: dict[str, Any]) -> None:
+    conn = sqlite3.connect(TRACES_DB_PATH)
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS traces (
+            trace_id TEXT PRIMARY KEY,
+            tool TEXT,
+            domain TEXT,
+            agent_caller TEXT,
+            correlation_id TEXT,
+            started_at TEXT,
+            duration_ms INTEGER,
+            payload TEXT
+        )
+    """)
+    conn.execute("CREATE INDEX IF NOT EXISTS ix_traces_started ON traces (started_at)")
+    conn.execute(
+        "INSERT OR REPLACE INTO traces VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
+        (
+            trace["trace_id"], trace["tool"], trace.get("domain"),
+            trace.get("agent_caller"), trace.get("correlation_id"),
+            trace["started_at"], trace["duration_ms"],
+            json.dumps(trace),
+        ),
+    )
+    conn.commit()
+    conn.close()
+
+
+def _emit_http(trace: dict[str, Any]) -> None:
+    import requests
+    requests.post(TRACE_SINK_URL, json=trace, timeout=2)
+
+
+def _emit_otlp(trace: dict[str, Any]) -> None:
+    # Stub. Requires opentelemetry-sdk + exporter. Implement in v2.
+    pass
+
+
+def observable_tool(
+    *,
+    name: str,
+    domain: str = "",
+    description: str | None = None,
+    _bypass_tracing: bool = False,
+):
+    """Decorator that wraps ADK `@tool` with structured tracing."""
+    def decorator(func: Callable) -> Callable:
+        # First wrap the function to capture traces.
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs):
+            if _bypass_tracing:
+                return func(*args, **kwargs)
+
+            trace_id = f"{domain or 'tool'}-{name}-{uuid.uuid4().hex[:6]}"
+            started = time.perf_counter()
+            started_iso = _now_iso()
+
+            inputs = {}
+            try:
+                inputs = kwargs.copy()
+                # positional → harder; we capture the dict for now
+                if args:
+                    inputs["_positional"] = [repr(a)[:200] for a in args]
+            except Exception:
+                pass
+
+            result = None
+            error = None
+            try:
+                result = func(*args, **kwargs)
+            except Exception as e:
+                error = repr(e)
+                raise
+            finally:
+                duration_ms = int((time.perf_counter() - started) * 1000)
+                trace = {
+                    "trace_id": trace_id,
+                    "tool": name,
+                    "domain": domain,
+                    "started_at": started_iso,
+                    "duration_ms": duration_ms,
+                    "inputs": inputs,
+                    "result_preview": _preview(result),
+                    "error": error,
+                    "agent_caller": os.environ.get("WXO_CURRENT_AGENT", "unknown"),
+                    "correlation_id": os.environ.get("WXO_CORRELATION_ID", ""),
+                }
+                _emit_trace(trace)
+            return result
+
+        # Then wrap with the ADK tool decorator so it's discoverable.
+        kwargs = {"name": name}
+        if description:
+            kwargs["description"] = description
+        return _adk_tool(**kwargs)(wrapper)
+    return decorator
+
+
+def _preview(value: Any, max_len: int = 500) -> Any:
+    """Truncate big values for trace storage."""
+    if value is None:
+        return None
+    try:
+        s = json.dumps(value, default=str)
+        if len(s) <= max_len:
+            return json.loads(s)
+        return {"_truncated": True, "preview": s[:max_len]}
+    except Exception:
+        return {"_repr": repr(value)[:max_len]}